Hydropower station group remote data service method and system based on Internet of Things, terminal and storage medium

Abstract

The invention discloses a hydropower station group remote data service method and system based on the Internet of Things, a terminal and a storage medium. The system comprises a data acquisition system and a cloud platform. The data acquisition system comprises a plurality of acquisition terminals configured to perform field data acquisition and send various field data to a cloud platform througha network; and the cloud platform comprises a data processing subsystem and a data service application subsystem, and is used for acquiring field data and user information for processing and providinga plurality of data service projects for the hydropower station. According to the invention, all links related to hydropower station production are surrounded; modern information technologies and advanced communication technologies such as big data, cloud computing, Internet of Things, mobile Internet and artificial intelligence are fully applied; all-thing interconnection and man-machine interaction of all links are achieved, the characteristics of comprehensive state perception and efficient information processing are achieved, and data service application of technical supervision, online state monitoring, remote testing, remote operation and maintenance, fault diagnosis and health evaluation and optimized operation is achieved.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a remote data service method, system, terminal and storage medium for hydropower station groups based on the Internet of Things. Background technique [0002] In recent years, in order to meet the needs of rapid social and economic development, the electric power industry is also growing. On-site standardized operation is an important measure for electric power enterprises to implement standardization and proceduralization of production and operation work. It is an effective means to avoid huge differences in the quality of the same work due to differences in the quality of employees. It is also an organizational and technical guarantee to ensure safe production in electric power enterprises. With the promotion of standardized operations by the State Grid and various power generation group companies, how to compile and manage various standardized operations and whole-process...

AI Technical Summary

Problems solved by technology

However, on the one hand, the method of employing professionals by enterprises has shortcomings such as inconsistent technical standards, incomplete data technology services, chaotic technical service steps, and high employment costs, which wastes manpower, material resources, and financial resources of enterprises, and makes production standardization and production efficiency of enterprises On the other hand, the professionals hired by the company can only serve the company. Although comprehensive data service support is provided for the company, in the hydropower station industry where high-precision professionals are scarce, professionals have to Without the maximum utilization of its own resources, it cannot provide one-to-many technical standard formulation, supervision and technical services for multiple enterprises

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